Data Engineer II, Alexa Identity

Job summary
Do you want to be in the forefront of engineering big data solutions that helps Alexa get to know individual users, their preferences, and provide personalized experiences? Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing need to help understand customers as individuals not just accounts? We are looking for a Data Engineers to be part of our Alexa Identity team that helps customers discover and use their Alexa Profile and powers personalization throughout Alexa. We are building analytical and reporting solutions using big data tools and AWS technologies like Spark, EMR, SNS, SQS, Lambda, Kinesis Firehose, DynamoDB Streams.

The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. Candidates should be an expert with data modeling, ETL design and business intelligence tools and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. Great candidates are a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team. It's a big ask, and we're excited to talk to those up to the challenge!

Key Responsibilities:
· Contribute to the design and implementation of next generation data engineering solutions focused on long-term scalability and low-cost maintenance
· Manage and administer data platform built on AWS services such as EC2, RDS, Redshift, Kinesis, EMR, Lambda etc
· Implement automated and continuous data quality monitoring mechanisms
· Improve tools, processes, scale existing solutions, create new solutions as required to meet business needs and growth
· Collaborate with business leaders, other data engineers and technical architects to deliver high-quality and highly-performant data pipelines

About the team
As a member of the Alexa Identity team, you will enable Alexa to treat people as individuals and manage the preferences and resources they have shared with Alexa. You will help Alexa to recognize individuals, deliver personalized experiences, and measure impact on their overall engagement. You will have significant influence on our overall strategy by helping define these features, drive the system architecture, and spearhead the best practices that enable a quality data product.

Basic Qualifications

· 3+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
· Degree in Computer Science, Engineering, Mathematics, or a related field and 4+ years industry experience
· Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
· Proficiency with at least one Object Oriented language (e.g. Java, Python, Ruby)
· Highly proficient in SQL and knowledgeable about Data Warehousing concepts and best practices.
· Working knowledge of software development lifecycle methodologies like Agile
· Able to work in a diverse team

Preferred Qualifications

· Strong customer focus, ownership, urgency and drive
· Excellent communication skills and the ability to work well in a team.
· Effective analytical, troubleshooting and problem-solving skills.
· Graduate degree in Computer Science, Engineering or related technical field
· Experience with AWS Tools and Technologies (EC2, RDS, Redshift, Kinesis, EMR, Lambda, etc..)
· Expertise in Data Modeling, Advanced SQL and Columnar Databases
· Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.


Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.